• [[Category:random variables]] Question 1: Probability and Random Processes
    6 KB (973 words) - 00:57, 1 February 2016
  • [[Category:random variables]] Question 1: Probability and Random Processes
    5 KB (1,064 words) - 23:38, 31 January 2016
  • ...he number of photons in the beam at depth <math>x</math> is denoted by the random variable <math>Y_x</math> with Poisson density given by ...and e), assume the input, <math> x(m,n)</math>, are i.i.d. Gaussian random variables with mean zero and variance one. Calculate the auto covariance given by
    3 KB (566 words) - 16:39, 18 May 2017
  • ...> or <math>l \neq 0</math>, according to the property of the i.i.d. random variables, we know it should be 0.
    5 KB (887 words) - 11:08, 13 August 2018
  • [[Category:random variables]] Question 1: Probability and Random Processes
    3 KB (502 words) - 15:33, 19 February 2019
  • Here some variables are the same as the ones using in the example part above. We have m for the They firstly added a power of k (a random number), and the equation is now like this:
    18 KB (3,085 words) - 15:13, 7 December 2022

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Questions/answers with a recent ECE grad

Ryne Rayburn